Investigative study on machinability aspects of unreinforced and reinforced PEEK composite machining using ANN model

Journal of Reinforced Plastics and Composites

Volumn 27, Issue 7, 2008, Pages 751-768

  Karnik, S R ^a   Gaitonde, V N ^a   Mata, Francisco ^b   Davim, J Paulo ^c  

^a KLE TECHNOLOGICAL UNIVERSITY   (India)

^b UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^c UNIVERSITY OF AVEIRO   (Portugal)

Author keywords

Artificial neural network (ANN); Cemented carbide (K10) tool; Polycrystalline diamond (PCD) tool; Polyetheretherketone (PEEK); Power; Specific cutting pressure

Indexed keywords

MATHEMATICAL MODELS; NEURAL NETWORKS; PARAMETER ESTIMATION; POLYCRYSTALLINE MATERIALS; POLYETHER ETHER KETONES; REINFORCED PLASTICS; TRIBOLOGY;

CEMENTED CARBIDE (K10) TOOLS; POLYCRYSTALLINE DIAMOND (PCD) TOOLS; POWER; SPECIFIC CUTTING PRESSURE; SPECIFIC STRENGTH;

MACHINING;

EID: 42649102332     PISSN: 07316844     EISSN: 15307964     Source Type: Journal    
DOI: 10.1177/0731684407084259     Document Type: Article

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